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IDA
2010
Springer
13 years 11 months ago
Clustering with feature order preferences
We propose a clustering algorithm that effectively utilizes feature order preferences, which have the form that feature s is more important than feature t. Our clustering formulati...
Jun Sun, Wenbo Zhao, Jiangwei Xue, Zhiyong Shen, Y...
TIT
2008
89views more  TIT 2008»
14 years 15 days ago
Joint Fixed-Rate Universal Lossy Coding and Identification of Continuous-Alphabet Memoryless Sources
Abstract--The problem of joint universal source coding and density estimation is considered in the setting of fixed-rate lossy coding of continuous-alphabet memoryless sources. For...
Maxim Raginsky